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Artificial neural networks and multiple linear regression as potential methods for modelling body surface temperature of pig

机译：人工神经网络和多元线性回归作为猪体表温度的潜在方法

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Jayanta Kumar Basak; Frank Gyan Okyere; Elanchezhian Arulmozhi; Jihoon Park; Fawad Khan; Hyeon Tae Kim;
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1. Artificial neural networks and multiple linear regression as potential methods for modelling body surface temperature of pig [J] . Jayanta Kumar Basak, Frank Gyan Okyere, Elanchezhian Arulmozhi, Journal of Applied Animal Research . 2020,第1期

机译：人工神经网络和多元线性回归作为猪体表温度的潜在方法
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机译：人工神经网络和多元线性回归作为红花种子产量建模的潜在方法（Carthamus Tinctorius L.）
3. Comparison of multiple linear and nonlinear regression,autoregressive integrated moving average, artificial neural network,and wavelet artificial neural network methods for urban water demand forecasting in Montreal, Canada [J] . Jan Adamowski, Hiu Fung Chan, Shiv O. Prasher, Water resources research . 2012,第1期

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Artificial neural networks and multiple linear regression as potential methods for modelling body surface temperature of pig

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